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linkage among actors. Access to market is difficult for a majority (88%) of the producers, and hence they sell bamboo culms and other product forms locally, mainly in roadside markets. Despite the inefficient value chains, 85% of the respondents indicated an increasing trend of demand for bamboo products. Market assessment for bamboo culms showed a price elasticity of demand, which is the change in quantity divided by change in price, up to Research AbstractEthiopia has an estimated one million hectares of natural bamboo forest, the largest in the African continent. Despite the versatile resource base and advanced bamboo utilization at a global scale, its great potential to enhance socio-economic and ecological development remains unrealized in Ethiopia. More importantly, recent observations in the country showed massive bamboo flowering followed by a death that urges management interventions. The objective of this study was to examine the socio-economic contribution of bamboo resources and typify their marketing value chain across major bamboo-growing and -marketing regions in Ethiopia, in order to promote its sustainable management. Structured questionnaires were administered to a total of 345 households to inspect the relative contribution of bamboo income to household economy. Participatory rural appraisal, key informant interviews, group discussions, market assessment, and field observations were made to understand the bamboo marketing system, actors involved, price trends, and factors affecting the bamboo value chain. Results show that crop and livestock production, forest management, and off-farm activities are major sources of income for respondent households. Fifty-three percent of the respondents reported bamboo income. Though it significantly varies across the study localities (p < 0.005), bamboo income contributed up to 11% of the annual cash income of the households, the lowest (3.4%) at Masha and the largest (38%) at Banja and Bahir Dar Zuria Districts. Positive and significant correlation was observed among cash incomes from bamboo, crop, petty trade, and other Non-Timber Forest Products (NTFPs). Producer farmers, village level traders, town and city wholesalers, small-and medium-scale bamboo processing and marketing firms, and town and city consumers are identified as major actors in the bamboo value chain. Fifty-five percent of the respondents indicated presence of poor horizontal and vertical Published: 23 November 2014 Ethnobotany Research & Applications 512www.ethnobotanyjournal.org/vol12/i1547-3465-12-511.pdf for technology innovation, upgrading and integrating the bamboo value chain, and promoting sustainable management of the resource base.

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Accurate information on land use and land cover change (LULCC) is critical for understanding the causes of change and for developing effective policies and strategies to slow and reverse land degradation. In Ethiopia, the speed and scale of LULCC has been accelerated in the last 3-4 decades of the 21 st century. The objectives of this study were to assess: (i) the extent of LULCC and normalized difference vegetation index (NDVI) and the link to land degradation; (ii) the causes of LULCC and implication for climate change adaptation. Satellite images analysis was used to detect the change in area and vegetation index, and farmers' perception to see the magnitude of LULCC dynamics and causes of deforestation. Correlations were made between vegetation index with dry season rainfall and temperature. The analysis of confusion matrix of LULC classification showed 87% accuracy with Kappa coefficient of 0.84. In the period 1986-2016, agriculture and settlement areas have increased by 250% and 618%, respectively. On the other hand, forests and woodlands have decreased by 72% and 84%, respectively. These were also validated with the farmers' quantification results with similar trends. Different causes have played roles in the dynamics of LULCC. The results showed that vegetation dynamics vary both spatially and temporally against precipitation and temperature. This study informs the need to focus on halting deforestation and development of alternative energy sources. It further helps to design future land management directions, landscape based adaptation and rehabilitation strategies to be considered by policy makers.

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